Gender: Female 
Age: 35-44
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Married 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 5
Home: Rent 
Employment: Employed full time
Occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Mother's occupation: Homemaker
Father's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Hobbies: Exercise;Use social media;Attend football matches;Watch sports 
Devices used daily: Smartphone;Smartwatch;Laptop;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools they would find useful: Other (specify) N/A would find all useful and use all
Frequency of LLM use: Every day
LLMs used: ChatGPT 
LLM use cases: Translation;Writing (e.g., composing emails);Generic chatbot conversation;Solving math or logical problems;Analyze data;Completing assignments;Get information about current events;Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Work;Personal;Learning;Entertainment 
Prompt 1: For dippy eggs do I boil eggs to soft or medium
Prompt 2: what reason could lifting dumbells affect my neck
Prompt 3: are you meant to pop a blood blister or leave it alone
Prompt 4: Why do me and my husband get really hot after eating carbs
Prompt 5: What would cause my neck when I turn to sound like marbles rubbing together 
Prompt 6: why when i wear an eye mask at night does my eyes stick together in the morning
Prompt 7: Find me the link for this Agatha Paris ring 
Prompt 8: What is the rough hours of work a solicitor would do for a no win no fee for a claimant
Prompt 9: Castor oil dosage for dogs
Prompt 10: Why is is when I lie my head flat on a pillow I dose of